Triple

T22527350
Position Surface form Disambiguated ID Type / Status
Subject شكري سرحان E556940 entity
Predicate عمل_مع P30363 FINISHED
Object هند رستم
هند رستم هي ممثلة مصرية شهيرة لُقبت بـ"مارلين مونرو الشرق" وتُعد من أبرز نجمات السينما العربية في الخمسينيات والستينيات.
E1542457 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: هند رستم | Statement: [شكري سرحان, عمل_مع, هند رستم]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: هند رستم
Context triple: [شكري سرحان, عمل_مع, هند رستم]
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shehera
    Shehera is a town located in the Panchmahal district of the Indian state of Gujarat.
  • C. Roxanna
    Roxanna is a feminine given name of Persian origin, commonly interpreted to mean "dawn" or "bright."
  • D. Gurandukht
    Gurandukht was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King David IV "the Builder" of Georgia.
  • E. Gurandukht
    Gurandukht was a medieval Cuman princess known from Georgian and regional Caucasian historical sources, often mentioned in the context of dynastic and political alliances.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: هند رستم
Triple: [شكري سرحان, عمل_مع, هند رستم]
Generated description
هند رستم هي ممثلة مصرية شهيرة لُقبت بـ"مارلين مونرو الشرق" وتُعد من أبرز نجمات السينما العربية في الخمسينيات والستينيات.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: هند رستم
Target entity description: هند رستم هي ممثلة مصرية شهيرة لُقبت بـ"مارلين مونرو الشرق" وتُعد من أبرز نجمات السينما العربية في الخمسينيات والستينيات.
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shehera
    Shehera is a town located in the Panchmahal district of the Indian state of Gujarat.
  • C. Roxanna
    Roxanna is a feminine given name of Persian origin, commonly interpreted to mean "dawn" or "bright."
  • D. Gurandukht
    Gurandukht was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King David IV "the Builder" of Georgia.
  • E. Gurandukht
    Gurandukht was a medieval Cuman princess known from Georgian and regional Caucasian historical sources, often mentioned in the context of dynastic and political alliances.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed411488190a51320930b9805c2 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1dd894048190a50e4b3d24d26905 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b2560f8b08190aaba573e06d38d55 completed May 18, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_6a0b2729328481908faf3f88acfc9de1 completed May 18, 2026, 2:50 p.m.
Created at: April 16, 2026, 8:51 p.m.